Staff Platform Engineer
Pubblicato il 30-08-2026 - AGILE LAB in Italia
Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customizable solutions that establish performance-driven processes, sustainable architectures, and automated platforms based on data governance best practices.
Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organizations to discover, value, and produce their data in both traditional environments and fully compliant Data Mesh architectures.
With a highly skilled team of over 130 data engineers based in Europe, Agile Lab helps organizations with their data-driven transformation.
Take a look at our handbook to discover our core values and processes.
We are looking to hire a talented Staff Engineer to develop and manage our Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, data-intensive applications, and cloud platforms.
To ensure success as a Big Data Engineer,
you should have in-depth knowledge of distributed computing technologies and top problem-solving skills.
Salary: 62.5K - 72.5K + up to 8K premio
Responsibilities:
- Analyzes, designs, and implements complex systems
- Challenges team processes, looking for ways to improve
- Mentors junior engineers via pairing, design, and code review
- Builds software solutions by adhering to our quality standards about SDLC
- Makes active efforts to stay up-to-date with technologies
- Leads the technical design of complex systems
- Understands and optimizes system performances
- Takes the initiative to fix issues before they become problems
- Delivers complex systems, well-baked, and almost bug-free
- Proactively identifies problems with requirements and project plans
- Becomes an expert in one technological area
- Researches and proposes new technologies
- Detects possible performance bottlenecks
- Known for